CO1: | Learner will be able to precise technologies such as MOS, Bi-CMOS. |

CO2: | Learner will get information of design tools for CMOS. |

CO3: | Learner will be able to design basic gates and their alternative circuits. |

CO4: | Learner will be able to design combinational logic circuits. |

CO5: | Learner will be able to validate and test the design. |

CO1: | Learner will be able to precise modeling of passive components. |

CO2: | Learner will be able to interpret modeling parameters. |

CO3: | Learner will be able to learn different architectures of CMOS amplifier. |

CO4: | Learner will be able to design multistage CMOS operational amplifier. |

CO5: | Learner will be able to characterize comparators. |

CO1: | Learner will be able to learn ARM instruction set. |

CO2: | Learner will be able to interface I/O devices with ARM. |

CO3: | Learner will be able to design, debug and simulate practical examples. |

CO4: | Learner will be able to recognize fault in the system. |

CO5: | Learner will be have understanding of different operating systems. |

CO1: | Learner will be able to identify mapping algorithms . |

CO2: | Learner will be able to recognize various delays in combinational circuit and its optimization methods. |

CO3: | Learner will be able to understand circuit design of latches and flip -flops. |

CO4: | Learner will be able to demonstrate combinational and sequential circuits of medium complexity that is based on VLSIs, and programmable logic devices. |

CO5: | Learner will be able to know the advanced topics such as reconfigurable computing, partially reconfigurable, Pipeline reconfigurable architectures and block configurable. |

CO1: | Learner will be able to define embedded system. |

CO2: | Learner will be able to classify between processors, programming languages, operating systems etc. |

CO3: | Learner will be able to describe architecture of 8051 microcontroller. |

CO4: | Learner will be able to engrave a program basic techniques for reading from port pins. |

CO5: | Learner will learn concept of Object oriented programming. |

CO1: | Learner will be able to express co-design issues. |

CO2: | Learner will have knowledge of Prototyping and emulation techniques. |

CO3: | Learner will have knowledge of Architecture Specialization techniques. |

CO4: | Learner will have knowledge of Tools for Embedded Processor Architectures. |

CO5: | Learner will be able to design and verify computational models. |

CO1: | Learner will be learn the concept of artificial neural network. |

CO2: | Learner will be able to design the model of fuzzy logic. |

CO3: | Learner will be able to solve problems using genetic algorithm. |

CO4: | Learner will be able to identify and control of linear and nonlinear dynamic systems using MATLAB. |

CO5: | Learner will be able to Implement of fuzzy logic controller using MATLAB. |

CO1: | Learner will acquire Information about various architectures and device technologies of PLDs. |

CO2: | Learner will be able to Know FPGA Architectures. |

CO3: | Learner will be able to evaluate System level Design and their application for Combinational and Sequential Circuits. |

CO4: | Learner will be aware with Anti-Fuse Programmed FPGAs. |

CO5: | Learner will able to apply knowledge of this subject for various design applications. |

CO1: | Learner will be able to know different processor architectures and system-level design processes. |

CO2: | Learner will be able to know the components and operation of a memory hierarchy and the range of performance issues influencing its design. |

CO3: | Learner will be able to know the principles of I/O in computer systems, including viable mechanisms for I/O and secondary storage organization. |

CO4: | Learner will be able to know basic concept of pipelining. |

CO5: | Learner will be able to know Multiprocessor architecture. |

CO6: | Learner will be able to know Non von Neumann Architectures. |

CO1: | Students will learn how the operating system defines an abstraction of hardware behavior with which programmers can control the hardware. |

CO2: | Students will learn how operating system manages resource sharing among the compute’s users. |

CO3: | Learner will learn basic commands and command arguments for UNIX and LINUX. |

CO4: | Learner will gain knowledge of distributed systems. |

CO5: | Learner will be able to detect and prevent deadlock in distributed system. |

CO1: | Learner will acquire knowledge of various classical techniques for encription. |

CO2: | Learner will be able to compare various cryptographic techniques. |

CO3: | Learner will be able to design secure application. |

CO4: | Learner will be able to add secure coding in developed application. |

CO1: | Learner will be learn with basic MOS characteristics. |

CO2: | Learner will be able to design CMOS logic gates. |

CO3: | Learner will be able to model complex combinational logic circuits. |

CO4: | Learner will be able to understand sequential MOS logic circuits. |

CO5: | Learner will have knowledge of various types of semiconductor memories. |

CO1: | Learner will be able to express embedded system. |

CO2: | Learner will be able to classify between processors, programming languages, operating systems etc. |

CO3: | Learner will be able to learn architecture of 8051 microcontroller. |

CO4: | Learner will be able to do programing on basic techniques for reading from port pins. |

CO5: | Learner will learn about Object oriented programming. |

CO1: | Learner will be able to know the concept of aberrations. |

CO2: | Learner will be able to get knowledge of image evaluation. |

CO3: | Learner will be able to classify types of lenses. |

CO4: | Learner will be able to gain the knowledge of optics. |

CO5: | Learner will be able to understand optimization techniques in lens design. |

CO1: | Learner will be able to know the fundamental principles of effective business communication. |

CO2: | Learner will be able to apply the critical and creative thinking abilities. |

CO3: | Learner will be able to establish and express ideas in writing and speaking to produce messages suitably made-to-order for the topic, objective, audience, communication medium and context. |

CO4: | Learner will be able to exhibit clarity, precision, conciseness and coherence in use of language. |

CO5: | Learner will be able to become more effective confident speakers and deliver influential presentations. |

CO1: | Learner will know the Embedded Real Time software that is needed to run embedded systems. |

CO2: | Learner will know the open source RTOS and their usage. |

CO3: | Learner will know the real time application programming. |

CO4: | Learner will be able to make device driver and kernel internal for Embedded OS & RTOS |

CO1: | Learner will understand switched capacitor circuits. |

CO2: | Learner will be able to design a filter network. |

CO3: | Learner will be able to understand different topology of PLL network. |

CO4: | Learner will understand the Data Converter Fundamentals. |

CO1: | Learner will learn the role of testing in VLSI technology. |

CO2: | Learner will have knowledge of fault modeling. |

CO3: | Learner will learn to simulation of circuit for Design, Verification, and Test Evaluation. |

CO4: | Learner will acquire knowledge of different testability measure. |

CO1: | Learner will learn the architecture details fixed and floating point DSPs. |

CO2: | Learner will learn about the control instructions, interrupts, and pipeline operations, memory and buses. |

CO3: | Learner will illuminate the features of on-chip peripheral devices and its interfacing with real time application devices. |

CO4: | Learner will learn to implement the signal processing algorithms and applications in DSPs. |

CO5: | Learner will learn the architecture of advanced DSPs. |

CO1: | Learner will be able to interpret nature of hardware and software, its data flow modeling and implementation techniques. |

CO2: | Learner will be able to analyze the micro-programmed architecture of cores and processors. |

CO3: | Learner will be able to demonstrate system on chip design models. |

CO4: | Learner will be able to hypothesize and synthesize working of advanced embedded systems. |

CO5: | Learner will be able to develop design SOC controller. |

CO6: | Learner will be able to design, implement and test SOC model. |

CO1: | Learner will be able to get knowledge in the Protocols, Network Related Application. |

CO2: | Learner will be able to get knowledge in USB communication. |

CO3: | Learner will be able to get knowledge of CAN interface/application. |

CO4: | Learner will be able to learn basics of Ethernet. |

CO5: | Learner will be able to get knowledge of concept of embedded Ethernet. |

CO6: | Learner will be able to get knowledge of wireless embedded networking. |

CO1: | Learner will be able to understand the Noise models for passive components and noise theory. |

CO2: | Learner will be able to analyze the design of a high frequency amplifier. |

CO3: | Learner will be able to understand the different LNA topologies & design techniques. |

CO4: | Learner will be able to learn different types of mixers. |

CO5: | Learner will be able to analyze the various types of synthesizers, oscillators and their characteristics. |

CO1: | Learner will understandto characterize types sensors. |

CO2: | Learner will understandto interpret working of different types of sensors. |

CO3: | Learner will understandto describe application of sensor. |

CO4: | Learner will understand the Actuation Systems. |

CO1: | Learner will be able to classify causes for various power dissipation. |

CO2: | Learner will gain knowledge of Low-Power Design Approaches. |

CO3: | Learner will be able to use Switched Capacitance Minimization Approaches |

CO4: | Learner will learn to design low power adder networks. |

CO5: | Learner will be able to design low power multiplier networks. |

CO6: | Learner will have knowledge of low power memory technologies. |

CO1: | Learner will gain knowledge of Random Access Memory Technologies. |

CO2: | Learner will gain knowledge of Non-volatile Memories. |

CO3: | Learner will have knowledge of Memory Fault Modeling Testing and Memory Design for Testability. |

CO4: | Learner will gain knowledge of Semiconductor Memory Reliability. |

CO5: | Learner will gain knowledge of Radiation Effects. |

CO6: | Learner will gain knowledge of Advanced Memory Technologies. |

CO1: | Learner will gain knowledge of switched capacitor circuits. |

CO2: | Learner will be able to design a filter network. |

CO3: | Learner will learn Data Converter Fundamentals. |

CO4: | Learner will learn different topology of PLL network. |

CO1: | Learner will understand the meaning of internet in general and IOT in terms of layers, protocols, packets peer to peer communication. |

CO2: | Learner will understandto interpret IOT working at transport layer with the help of various protocols. |

CO3: | Learner will be able to understand IOT concept at data link layer. |

CO4: | Learner will be able to apply the concept of mobile networking to the internet connected devices. |

CO5: | Learner will be able to measure and schedule the performance of networked devices in IOT. |

CO6: | Learner will be able to analyze the challenges involve in developing IOT architecture. |

CO1: | Learner will be able to model, simulate, verify, and synthesize with hardware description languages. |

CO2: | Learner will be able to understand and use major syntactic elements of VHDL - entities, architectures, processes, functions, common concurrent statements, and common sequential statements. |

CO3: | Learner will be able to design digital logic circuits in different types of modeling. |

CO4: | Learner will be able to demonstrate timing and resource usage associated with modeling approach. |

CO5: | Learner will understand the use of computer-aided design tools for designing the complex digital logic circuits. |

CO1: | Learner will learn to solve and analyze linear system of equation. |

CO2: | Learner will learn to analyze the direct notations, duality, adjointness, bases, dual bases in linear algebra. |

CO3: | Learner will understand the concept of Linear transformations and matrices, equivalence, similarity. |

CO4: | Learner will be able to find eigen values and eigen vectors using characteristics polynomials. |

CO5: | Learner will able to find the singular value decomposition of the matrix. |

CO6: | Learner will be able to find the inverse of matrix. |

CO1: | Learner will understand the concept of fuzzy logic. |

CO2: | Learner will understand the embedded digital signal processor, Embedded system design and development cycle, applications in digital camera. |

CO3: | Learner will understand the embedded systems, characteristics, features and applications of an embedded system. |

CO4: | Learner will understand the design and utilization of fuzzy logic controller for various industrial applications. |

CO5: | Learner will understand the implementation of radial basis function, neural network on embedded system. |

CO1: | Learner will understand the meaning, objective , motivation and type of research. |

CO2: | Learner will be able to frame their research work with the help of literature review. |

CO3: | Learner will be able to develop an understanding of various research design and techniques. |

CO4: | Learner will have knowledge of modeling and simulation of research work. |

CO5: | Learner will be able to gather the statistical data with different methods related to research work. |

CO6: | Learner will be able to write their own research work with ethics and non-plagiarized way. |

CO1: | Learner will be able to understand the meaning of wavelet transform. |

CO2: | Learner will understand the terminologies used in Wavelet transform with its properties. |

CO3: | Learner will be able to model various filter bank using wavelet transformation. |

CO4: | Learner will understand bases , orthogonal bases in wavelet transform. |

CO5: | Learner will understand the different types of wavelet transform. |

CO6: | Learner will be able to design practical system using wavelet transform. |